### I6_P12_1_gender

I6_P12_1_gender_t <- as.data.table(svyby(~I6_P12_1, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_1_gender_t[, Status := "Treatment"]

I6_P12_1_gender_c <- as.data.table(svyby(~I6_P12_1, ~M1, srs_control, svymean, na = TRUE))

I6_P12_1_gender_c[, Status := "Control"]

I6_P12_1_gender <- rbind(I6_P12_1_gender_t, I6_P12_1_gender_c)

I6_P12_1_gender <- I6_P12_1_gender[, .(M1, I6_P12_1 = I6_P12_1*100, se = se*100, Status)]

I6_P12_1_gender$M1 <- factor(I6_P12_1_gender$M1, levels = unique(I6_P12_1_gender$M1))

I6_P12_1_gender_p  <- ggplot(I6_P12_1_gender, aes(x = M1, y=I6_P12_1, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_1 - se, 
                    ymax = I6_P12_1 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_1_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_2_gender

I6_P12_2_gender_t <- as.data.table(svyby(~I6_P12_2, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_2_gender_t[, Status := "Treatment"]

I6_P12_2_gender_c <- as.data.table(svyby(~I6_P12_2, ~M1, srs_control, svymean, na = TRUE))

I6_P12_2_gender_c[, Status := "Control"]

I6_P12_2_gender <- rbind(I6_P12_2_gender_t, I6_P12_2_gender_c)

I6_P12_2_gender <- I6_P12_2_gender[, .(M1, I6_P12_2 = I6_P12_2*100, se = se*100, Status)]

I6_P12_2_gender$M1 <- factor(I6_P12_2_gender$M1, levels = unique(I6_P12_2_gender$M1))

I6_P12_2_gender_p <- ggplot(I6_P12_2_gender, aes(x = M1, y=I6_P12_2, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_2 - se, 
                    ymax = I6_P12_2 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status') 

ggsave("I6_P12_2_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_3_gender

I6_P12_3_gender_t <- as.data.table(svyby(~I6_P12_3, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_3_gender_t[, Status := "Treatment"]

I6_P12_3_gender_c <- as.data.table(svyby(~I6_P12_3, ~M1, srs_control, svymean, na = TRUE))

I6_P12_3_gender_c[, Status := "Control"]

I6_P12_3_gender <- rbind(I6_P12_3_gender_t, I6_P12_3_gender_c)

I6_P12_3_gender <- I6_P12_3_gender[, .(M1, I6_P12_3 = I6_P12_3*100, se = se*100, Status)]

I6_P12_3_gender$M1 <- factor(I6_P12_3_gender$M1, levels = unique(I6_P12_3_gender$M1))

I6_P12_3_gender_p <- ggplot(I6_P12_3_gender, aes(x = M1, y=I6_P12_3, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_3 - se, 
                    ymax = I6_P12_3 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_3_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_4_gender

I6_P12_4_gender_t <- as.data.table(svyby(~I6_P12_4, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_4_gender_t[, Status := "Treatment"]

I6_P12_4_gender_c <- as.data.table(svyby(~I6_P12_4, ~M1, srs_control, svymean, na = TRUE))

I6_P12_4_gender_c[, Status := "Control"]

I6_P12_4_gender <- rbind(I6_P12_4_gender_t, I6_P12_4_gender_c)

I6_P12_4_gender <- I6_P12_4_gender[, .(M1, I6_P12_4 = I6_P12_4*100, se = se*100, Status)]

I6_P12_4_gender$M1 <- factor(I6_P12_4_gender$M1, levels = unique(I6_P12_4_gender$M1))

I6_P12_4_gender_p <- ggplot(I6_P12_4_gender, aes(x = M1, y=I6_P12_4, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_4 - se, 
                    ymax = I6_P12_4 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_4_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_5_gender

I6_P12_5_gender_t <- as.data.table(svyby(~I6_P12_5, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_5_gender_t[, Status := "Treatment"]

I6_P12_5_gender_c <- as.data.table(svyby(~I6_P12_5, ~M1, srs_control, svymean, na = TRUE))

I6_P12_5_gender_c[, Status := "Control"]

I6_P12_5_gender <- rbind(I6_P12_5_gender_t, I6_P12_5_gender_c)

I6_P12_5_gender <- I6_P12_5_gender[, .(M1, I6_P12_5 = I6_P12_5*100, se = se*100, Status)]

I6_P12_5_gender$M1 <- factor(I6_P12_5_gender$M1, levels = unique(I6_P12_5_gender$M1))

I6_P12_5_gender_p <- ggplot(I6_P12_5_gender, aes(x = M1, y=I6_P12_5, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_5 - se, 
                    ymax = I6_P12_5 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_5_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_6_gender

I6_P12_6_gender_t <- as.data.table(svyby(~I6_P12_6, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_6_gender_t[, Status := "Treatment"]

I6_P12_6_gender_c <- as.data.table(svyby(~I6_P12_6, ~M1, srs_control, svymean, na = TRUE))

I6_P12_6_gender_c[, Status := "Control"]

I6_P12_6_gender <- rbind(I6_P12_6_gender_t, I6_P12_6_gender_c)

I6_P12_6_gender$M1 <- factor(I6_P12_6_gender$M1, levels = unique(I6_P12_6_gender$M1))

I6_P12_6_gender <- I6_P12_6_gender[, .(M1, I6_P12_6 = I6_P12_6*100, se = se*100, Status)]

I6_P12_6_gender_p <- ggplot(I6_P12_6_gender, aes(x = M1, y=I6_P12_6, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_6 - se, 
                    ymax = I6_P12_6 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_6_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_7_gender

I6_P12_7_gender_t <- as.data.table(svyby(~I6_P12_7, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_7_gender_t[, Status := "Treatment"]

I6_P12_7_gender_c <- as.data.table(svyby(~I6_P12_7, ~M1, srs_control, svymean, na = TRUE))

I6_P12_7_gender_c[, Status := "Control"]

I6_P12_7_gender <- rbind(I6_P12_7_gender_t, I6_P12_7_gender_c)

I6_P12_7_gender <- I6_P12_7_gender[, .(M1, I6_P12_7 = I6_P12_7*100, se = se*100, Status)]

I6_P12_7_gender$M1 <- factor(I6_P12_7_gender$M1, levels = unique(I6_P12_7_gender$M1))

I6_P12_7_gender_p <- ggplot(I6_P12_7_gender, aes(x = M1, y=I6_P12_7, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_7 - se, 
                    ymax = I6_P12_7 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_7_gender_p.jpeg", device='jpeg', dpi=900)

### I6_P12_8_gender

I6_P12_8_gender_t <- as.data.table(svyby(~I6_P12_8, ~M1, srs_treatment, svymean, na = TRUE))

I6_P12_8_gender_t[, Status := "Treatment"]

I6_P12_8_gender_c <- as.data.table(svyby(~I6_P12_8, ~M1, srs_control, svymean, na = TRUE))

I6_P12_8_gender_c[, Status := "Control"]

I6_P12_8_gender <- rbind(I6_P12_8_gender_t, I6_P12_8_gender_c)

I6_P12_8_gender <- I6_P12_8_gender[, .(M1, I6_P12_8 = I6_P12_8*100, se = se*100, Status)]

I6_P12_8_gender$M1 <- factor(I6_P12_8_gender$M1, levels = unique(I6_P12_8_gender$M1))

I6_P12_8_gender_p <- ggplot(I6_P12_8_gender, aes(x = M1, y=I6_P12_8, fill = Status)) + 
  geom_bar(stat="identity", color="black", 
           position=position_dodge()) +
  geom_errorbar(aes(ymin = I6_P12_8 - se, 
                    ymax = I6_P12_8 + se), width=.2,
                position=position_dodge(.9)) +
  theme_light() + scale_fill_manual (values=c("dodgerblue4", "gold1", "darkgrey")) + 
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 20, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 20, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        legend.text = element_text(color = "grey20", size = 20, hjust = .5, vjust = .5, face = "plain"),
        legend.title = element_text(color = "grey20", size = 20, face = "plain"),
        legend.position="bottom",
        legend.background = element_blank(),
        legend.box.background = element_rect(colour = "grey20")) +
  labs(x = "gender", y = "Share of respondets (%)", color='Treatment status')

ggsave("I6_P12_8_gender_p.jpeg", device='jpeg', dpi=900)


